Customers
MB
Maya Brown
dormantmaya.brown80@example.com · +447321720997
- Source
- mailchimp
- Last contacted
- 24 May 2025
- Mortgage renewal
- —
- Loan value
- £446,000
- Region
- London
- Added
- 10 Jul 2023
Activity
-
Email opened — "It's been a while"
24 May 2025
-
Enrolled in Dormant Reactivation
10 Jul 2023
-
Imported from mailchimp
10 Jul 2023
AI scoring How these are scored
The model scores each contact 0–100 from their engagement history, recency of last contact, source quality, and profile signals (loan value, renewal timing).
Likelihood to respond — higher is better. Churn risk — higher means more likely to go cold. Scores refresh as new activity arrives.
Likelihood to respond 74
Churn risk 67
What's driving likelihood to respond
Engagement history 63
Recency of contact 87
Source quality 88
Profile & loan fit 74
Renewal timing 89
What's driving churn risk
Time since engagement 82
Contact frequency 81
Channel responsiveness 56
Relationship tenure 53
Best send time
Sun 5:00pm
Recommended next step
High propensity — prioritise for the warm introduction sequence with a broker follow-up.